Assessing uncertainty in microsimulation modelling with application to cancer screening interventions

Kathleen A. Cronin, Julie M. Legler, Ruth Etzioni

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Microsimulation is fast becoming the approach of choice for modelling and analysing complex processes in the absence of mathematical tractability. While this approach has been developed and promoted in engineering contexts for some time, it has more recently found a place in the mainstream of the study of chronic disease interventions such as cancer screening. The construction of a simulation model requires the specification of a model structure and sets of parameter values, both of which may have a considerable amount of uncertainty associated with them. This uncertainty is rarely quantified when reporting microsimulation results. We suggest a Bayesian approach and assume a parametric probability distribution to mathematically express the uncertainty related to model parameters. First, we design a simulation experiment to achieve good coverage of the parameter space. Second, we model a response surface for the outcome of interest as a function of the model parameters using the simulation results. Third, we summarize the variability in the outcome of interest, including variation due to parameter uncertainty, using the response surface in combination with parameter probability distributions. We illustrate the proposed method with an application of a microsimulator designed to investigate the effect of prostate specific antigen (PSA) screening on prostate cancer mortality rates.

Original languageEnglish (US)
Pages (from-to)2509-2523
Number of pages15
JournalStatistics in Medicine
Volume17
Issue number21
DOIs
StatePublished - Nov 15 1998
Externally publishedYes

Fingerprint

Microsimulation
Early Detection of Cancer
Uncertainty
Screening
Cancer
Response Surface
Modeling
Probability Distribution
Chronic Disease
Prostate Cancer
Bayes Theorem
Mortality Rate
Tractability
Parameter Uncertainty
Prostate-Specific Antigen
Bayesian Approach
Model
Simulation Experiment
Parameter Space
Prostatic Neoplasms

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Cite this

Assessing uncertainty in microsimulation modelling with application to cancer screening interventions. / Cronin, Kathleen A.; Legler, Julie M.; Etzioni, Ruth.

In: Statistics in Medicine, Vol. 17, No. 21, 15.11.1998, p. 2509-2523.

Research output: Contribution to journalArticle

Cronin, Kathleen A. ; Legler, Julie M. ; Etzioni, Ruth. / Assessing uncertainty in microsimulation modelling with application to cancer screening interventions. In: Statistics in Medicine. 1998 ; Vol. 17, No. 21. pp. 2509-2523.
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